GeneMatcher

GeneMatcher connects clinicians and researchers by matching candidate disease genes to identify individuals and cohorts with rare Mendelian phenotypes for gene discovery.


Key Features:

  • Gene-centric submission and query: Supports submission of gene-focused entries and queries by specific genes to find matching cases.
  • Candidate gene database: Hosts a database containing 2,178 candidate genes submitted by 486 contributors from 38 countries (as of June 1, 2015).
  • Matchmaker Exchange API integration: Interfaces with the Matchmaker Exchange via an API to query external databases of genetic variants and phenotypes.
  • Variant-phenotype matching: Identifies individuals with rare phenotypes linked by variants in the same candidate disease gene.
  • Cross-species linkage: Connects human clinical findings with orthologous genes in model organisms to support translational and functional studies.

Scientific Applications:

  • Novel Mendelian gene discovery: Aggregates independent cases with variants in the same candidate gene to support gene-disease associations.
  • Case matching and cohort building: Facilitates finding and assembling individuals or cohorts who share candidate gene variants and phenotypes for clinical and research studies.
  • Functional follow-up in model organisms: Enables linkage of human candidate genes to orthologous model organism genes for downstream functional characterization.

Methodology:

Accepts user-submitted gene-centric entries and performs gene-based queries and matching to identify shared variants and associated phenotypes; integrates with the Matchmaker Exchange via an API to query external variant and phenotype databases.

Topics

Details

Tool Type:
web application
Operating Systems:
Linux, Windows, Mac
Programming Languages:
Perl, Python
Added:
8/3/2017
Last Updated:
11/25/2024

Operations

Publications

Sobreira N, Schiettecatte F, Valle D, Hamosh A. GeneMatcher: A Matching Tool for Connecting Investigators with an Interest in the Same Gene. Human Mutation. 2015;36(10):928-930. doi:10.1002/humu.22844. PMID:26220891. PMCID:PMC4833888.

PMID: 26220891
PMCID: PMC4833888
Funding: - NHGRI: 1U54HG006542

Documentation

Links